tense - Story 147644 | Emotion Vectors in Gemma4-31B

“Right, so, another meeting,” Maria muttered, slamming her laptop shut. She felt a knot forming in her neck muscles. She had been biting the inside of her cheek all morning, a habit she knew she should stop. The fluorescent lights overhead seemed to buzz louder than usual. The air in her office, usually stuffy, now felt suffocating. The IT guy had been in and out of her office all day.

She avoided looking at the faces around the conference table, each a tableau of apprehension. The speaker's voice droned on. Something about 'synergy' and 'strategic alignment'. The words were meaningless, a hollow echo in the face of the impending upheaval.

She wanted to scream.

Emotion: tense

Cluster: Fear / Anxiety

PC1 (Valence): -1.32 Negative

PC2 (Disposition): -0.53

Role in Research

This story is one of 1,000 stories generated for the emotion tense. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 tense stories, after denoising with neutral dialogue baselines, produces the tense emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the tense vector is projected through the unembedding matrix.

Promoted:

`S`	0.213
`😰`	0.191
`느껴`	0.183
`😣`	0.183
`😖`	0.181

Suppressed:

`a`	-0.260
`de`	-0.258
`la`	-0.256
`happy`	-0.218
`B`	-0.198